More than half of U.S. college administrators, instructors, and students now use artificial intelligence at least weekly, according to a new survey of over 3,000 people across two- and four-year institutions. The Time for Class 2026 report, released July 6 by learning technology company D2L and consulting firm Tyton Partners, signals that AI adoption has crossed a critical threshold-and that the conversation is shifting from monitoring use to actively integrating it into teaching and assessment.
Among the findings: weekly AI use reaches 71 percent of administrators, 61 percent of students, and 52 percent of faculty. Daily use is highest among administrators at 43 percent. "Students are using AI, and increasingly, they see it as part of the future they are preparing for," said Dr. Cristi Ford, Chief Learning Officer at D2L. "Administrators and instructors are coming to the same realization: AI cannot sit outside the learning experience anymore."
Policy adoption isn't keeping pace with use
While 32 percent of institutions have introduced a central AI policy, only 22 percent of faculty at those schools say the policy is effective. This gap suggests that rule-setting alone may not address the classroom-level challenges that instructors face. Many institutions are still drafting guardrails while daily AI use races ahead.
Faculty split on how to respond in the classroom
Nearly half of faculty-47 percent-are changing how they assess students because of AI. Some are redesigning assessments to incorporate AI (24 percent), while others are returning to in-class or proctored formats like blue books (23 percent). The path an instructor chooses appears to shape classroom dynamics. Faculty who redesign assessments around AI report fewer problems with cheating (54 percent) and attendance (43 percent) than those who restrict AI to supervised settings (66 and 55 percent, respectively).
This divide comes as concerns about academic dishonesty intensify. Faculty who cite cheating as a top challenge rose from 36 percent in 2024 to 55 percent this year. At the same time, 40 percent of students rank workload anxiety as their biggest classroom challenge-a figure that hints that some cheating fears may be rooted in student stress rather than deliberate misconduct.
Workforce readiness remains piecemeal
Although 67 percent of faculty say AI literacy is essential for students' future careers, only 12 percent of institutions have scaled career-connected learning across all departments. There's also a perception gap between faculty and students: 61 percent of faculty say they embed real-world projects into their courses, but just 26 percent of students report experiencing one. This disconnect suggests that career preparation claims don't always reach the classroom. For instructors looking to close that gap, resources like AI in Education Courses & Certifications offer practical training on integrating AI into lesson design and student projects.
Tyton Partners' Catherine Shaw pointed to the data behind integration-focused strategies. "The institutions best positioned for the next phase will be those that treat AI not just as a policy issue, but as a teaching, learning and workforce readiness strategy," she said. "The data suggests integration-focused approaches are more effective than restriction alone."
Why this matters for educators
The report underscores a simple but urgent point: how faculty choose to handle AI in assessments directly affects student engagement and academic integrity. Instructors who actively redesign coursework to include AI tools are seeing fewer classroom disruptions and cheating reports-and they are the ones who can make good on the claim that AI literacy matters for careers. The findings point to a clear need for professional learning. Structured pathways like AI for Teachers Courses can help faculty move from fear-based restrictions to assessments that reflect how AI is actually used in the workplace.
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